基于物联网的人脸识别语音控制智能家居安防系统设计

Ketty Salamah, L. Setiyawan, I. Simanjuntak
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引用次数: 0

摘要

所有的个人都需要技术来加速或促进个人和群体的发展。智能门锁是嵌入智能家居的一个功能,使日常生活更轻松。考虑到贵重物品存放在家中的安全性的重要性,以及进入房屋需要安全性的事实,进行这项研究的目的是帮助满足易于实施的家庭安全系统的需求。通过使用树莓派微型计算机作为处理器,网络摄像头作为面部检测器,语音命令用于检测语音代码,然后由树莓派使用OpenCV处理以确定是否存在人脸,计算面部特征(如眼睛,鼻子和嘴)之间的距离以及代码,给定的投票是真的还是假的。在人脸识别和声音代码正确后,树莓派将向伺服发出命令,打开螺线管,这样房主就可以进入家门,如果有人试图进入这个系统,就会通过电报发送消息。根据已经进行的系统测试,人脸识别系统的准确率为75%,正误差为25%,负误差为0%,因此可以得出结论,该系统是足够安全的,可以应用于家庭门安全系统。
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Design of Smart Home Security System With Face Recognition And Voice Command Based On Internet of Things
All individuals really need technology to accelerate development or enhance the development of both individuals and groups. A smart door lock is a feature embedded in a smart home to make everyday life easier. Given the importance of security for valuables stored in the house and the fact that security is required in accessing the house, the research was conducted with the goal of helping meet the needs of an easy-to-implement home security system. By utilizing the Raspberry Pi minicomputer as a processor, the webcam as a face detector, and Voice Command for detecting voice codes, which will then be processed by the Raspberry Pi using OpenCV to determine whether a human face is there or not, calculating the distance between facial features such as eyes, nose, and mouth as well as the code, the given vote is either true or false. After the face is recognized and the sound code is correct, the Raspberry Pi will issue an order to the servo to open the solenoid so that the home door can be accessed by the home owner, and there will be a message sent via telegram if someone tries to access this system. Based on the system tests that have been carried out, it turns out that the facial recognition system has an accuracy of 75%, a positive error of 25%, and a negative error of 0%, so it can be concluded that this system is safe enough to be applied in a home door security system.
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发文量
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审稿时长
10 weeks
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